{"id":"W3145907058","doi":"10.1177/00048658211003925","title":"Enhancing relationships between criminology and cybersecurity","year":2021,"lang":"en","type":"article","venue":"Journal of Criminology","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; International Centre for Comparative Criminology","funders":"Canada Research Chairs","keywords":"Cybercrime; Computer security; Cyber crime; Context (archaeology); Field (mathematics); Cyberwarfare; Computer science; Criminology; Political science; The Internet; Sociology; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01102604,0.0008735075,0.00068802,0.004847465,0.004984298,0.01365971,0.001309286,0.002037778,0.01827437],"category_scores_gemma":[0.03078739,0.0005259812,0.0006417631,0.003702442,0.01086572,0.01095364,0.01311639,0.00483176,0.001973923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007448017,"about_ca_system_score_gemma":0.01369046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004689379,"about_ca_topic_score_gemma":0.007907871,"domain_scores_codex":[0.988572,0.008185999,0.0002149624,0.0008814625,0.001445236,0.0007003058],"domain_scores_gemma":[0.9603262,0.02322483,0.00481353,0.002353616,0.004967545,0.004314315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004663436,0.0006682153,0.05505705,0.0007176329,0.0001449691,0.000389962,0.04399145,0.0008746032,0.0004951518,0.7418837,0.01294755,0.1427831],"study_design_scores_gemma":[0.00004093687,0.0003637615,0.08363751,0.002624358,0.0002158155,0.0007074123,0.06294774,0.00215302,0.001143627,0.5679762,0.278091,0.00009865431],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.1387956,0.01491658,0.05105951,0.1457405,0.0009771459,0.0005205484,0.0002883775,0.0003006644,0.647401],"genre_scores_gemma":[0.9572288,0.00734288,0.01944642,0.003880214,0.0004335686,0.0003732546,0.0000777464,0.00008017266,0.01113687],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01827437,"threshold_uncertainty_score":0.06113386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1289711842588153,"score_gpt":0.3029325572848464,"score_spread":0.1739613730260312,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}